updated dashboard

src/exchanges/deutsche_boerse.py

@@ -34,6 +34,10 @@ class DeutscheBoerseBase(BaseExchange):
             response.raise_for_status()
             
             files = []
+            html_text = response.text
+            
+            # Debug: Response-Länge
+            print(f"[{self.name}] Response length: {len(html_text)} chars")
             
             # Primär: Regex-basierte Extraktion (zuverlässiger)
             # Pattern: PREFIX-posttrade-YYYY-MM-DDTHH_MM.json.gz
@@ -47,13 +51,16 @@ class DeutscheBoerseBase(BaseExchange):
                 # Generisches Pattern
                 pattern = r'[A-Z]{4}-posttrade-\d{4}-\d{2}-\d{2}T\d{2}_\d{2}\.json\.gz'
             
-            matches = re.findall(pattern, response.text)
+            matches = re.findall(pattern, html_text)
             files = list(set(matches))
             
             # Sekundär: BeautifulSoup für Links (falls Regex nichts findet)
             if not files:
-                soup = BeautifulSoup(response.text, 'html.parser')
-                for link in soup.find_all('a'):
+                soup = BeautifulSoup(html_text, 'html.parser')
+                all_links = soup.find_all('a')
+                print(f"[{self.name}] Found {len(all_links)} total links on page")
+                
+                for link in all_links:
                     href = link.get('href', '')
                     text = link.get_text(strip=True)
                     
@@ -65,6 +72,15 @@ class DeutscheBoerseBase(BaseExchange):
                     elif text and 'posttrade' in text.lower() and '.json.gz' in text.lower():
                         files.append(text)
             
+            # Tertiär: Suche nach jedem "posttrade" im HTML und extrahiere Dateinamen
+            if not files:
+                # Allgemeineres Pattern für beliebige Dateinamen mit "posttrade"
+                general_pattern = r'[\w-]*posttrade[\w-]*\d{4}[-_]\d{2}[-_]\d{2}[T_]\d{2}[_:]\d{2}\.json\.gz'
+                matches = re.findall(general_pattern, html_text, re.IGNORECASE)
+                files = list(set(matches))
+                if files:
+                    print(f"[{self.name}] Found {len(files)} files via general pattern")
+            
             print(f"[{self.name}] Found {len(files)} files via regex/soup")
             return files
         except Exception as e:
@@ -233,6 +249,34 @@ class DeutscheBoerseBase(BaseExchange):
             print(f"Error parsing record: {e}")
             return None
     
+    def _generate_expected_files(self, target_date: datetime.date) -> List[str]:
+        """
+        Generiert erwartete Dateinamen basierend auf dem bekannten Format.
+        Format: PREFIX-posttrade-YYYY-MM-DDTHH_MM.json.gz
+        """
+        import re
+        files = []
+        
+        # Extrahiere Prefix aus base_url (z.B. DETR, DFRA, DGAT)
+        prefix_match = re.search(r'/([A-Z]{4})-posttrade', self.base_url)
+        prefix = prefix_match.group(1) if prefix_match else 'DETR'
+        
+        date_str = target_date.strftime('%Y-%m-%d')
+        
+        # Generiere für alle Stunden des Handelstages (07:00 - 22:00 UTC, alle Minuten)
+        for hour in range(7, 23):
+            for minute in range(0, 60):
+                files.append(f"{prefix}-posttrade-{date_str}T{hour:02d}_{minute:02d}.json.gz")
+        
+        # Auch frühe Dateien vom Folgetag (nach Mitternacht UTC)
+        next_date = target_date + timedelta(days=1)
+        next_date_str = next_date.strftime('%Y-%m-%d')
+        for hour in range(0, 3):
+            for minute in range(0, 60):
+                files.append(f"{prefix}-posttrade-{next_date_str}T{hour:02d}_{minute:02d}.json.gz")
+        
+        return files
+
     def fetch_latest_trades(self, include_yesterday: bool = True, since_date: datetime = None) -> List[Trade]:
         """
         Holt alle Trades vom Vortag (oder seit since_date).
@@ -248,7 +292,7 @@ class DeutscheBoerseBase(BaseExchange):
         
         print(f"[{self.name}] Fetching trades for date: {target_date}")
         
-        # Dateiliste holen
+        # Erst versuchen, Dateiliste von der Seite zu holen
         files = self._get_file_list()
         print(f"[{self.name}] Found {len(files)} total files")
         
@@ -256,11 +300,24 @@ class DeutscheBoerseBase(BaseExchange):
         target_files = self._filter_files_for_date(files, target_date)
         print(f"[{self.name}] {len(target_files)} files match target date")
         
+        # Falls keine Dateien von der Seite gefunden, generiere erwartete Dateinamen
+        if not target_files:
+            print(f"[{self.name}] No files from page, trying generated filenames...")
+            target_files = self._generate_expected_files(target_date)
+            print(f"[{self.name}] Trying {len(target_files)} potential files")
+        
         # Alle passenden Dateien herunterladen und parsen
+        successful = 0
         for file in target_files:
             trades = self._download_and_parse_file(file)
-            all_trades.extend(trades)
-            print(f"[{self.name}] Parsed {len(trades)} trades from {file}")
+            if trades:
+                all_trades.extend(trades)
+                successful += 1
+                if successful <= 5:
+                    print(f"[{self.name}] Parsed {len(trades)} trades from {file}")
+        
+        if successful > 5:
+            print(f"[{self.name}] ... and {successful - 5} more files")
         
         print(f"[{self.name}] Total trades fetched: {len(all_trades)}")
         return all_trades

src/exchanges/gettex.py

@@ -133,18 +133,33 @@ class GettexExchange(BaseExchange):
             with gzip.GzipFile(fileobj=io.BytesIO(response.content)) as f:
                 csv_text = f.read().decode('utf-8')
             
-            # CSV parsen
-            reader = csv.DictReader(io.StringIO(csv_text), delimiter=';')
+            # Debug: Zeige erste Zeilen und Spalten
+            lines = csv_text.strip().split('\n')
+            if lines:
+                print(f"[GETTEX] CSV has {len(lines)} lines, first line (headers): {lines[0][:200]}")
+                if len(lines) > 1:
+                    print(f"[GETTEX] Sample data row: {lines[1][:200]}")
             
+            # CSV parsen - versuche verschiedene Delimiter
+            delimiter = ';' if ';' in lines[0] else ','
+            reader = csv.DictReader(io.StringIO(csv_text), delimiter=delimiter)
+            
+            row_count = 0
             for row in reader:
+                row_count += 1
+                if row_count == 1:
+                    print(f"[GETTEX] CSV columns: {list(row.keys())}")
                 try:
                     trade = self._parse_csv_row(row)
                     if trade:
                         trades.append(trade)
                 except Exception as e:
-                    print(f"[GETTEX] Error parsing row: {e}")
+                    if row_count <= 3:
+                        print(f"[GETTEX] Error parsing row {row_count}: {e}, row keys: {list(row.keys())}")
                     continue
             
+            print(f"[GETTEX] Processed {row_count} rows, found {len(trades)} valid trades")
+                    
         except requests.exceptions.HTTPError as e:
             if e.response.status_code != 404:
                 print(f"[GETTEX] HTTP error downloading {filename}: {e}")
@@ -157,48 +172,102 @@ class GettexExchange(BaseExchange):
         """
         Parst eine CSV-Zeile zu einem Trade.
         
-        Erwartete Spalten (RTS Format):
-        - TrdDtTm: Trading Date/Time
-        - ISIN: Instrument Identifier
-        - Pric: Preis
-        - Qty: Menge
-        - Ccy: Währung
+        Unterstützte Spalten (RTS1/RTS2 Format, verschiedene Varianten):
+        - ISIN / FinInstrmId / Isin: Instrument Identifier
+        - Pric / Price / pric: Preis
+        - Qty / Quantity / qty: Menge
+        - TrdDtTm / TradingDateTime / TrdgDtTm: Trading Date/Time
+        - TrdDt / TradingDate: Trading Date
+        - TrdTm / TradingTime: Trading Time
         """
         try:
-            # ISIN
-            isin = row.get('ISIN', row.get('FinInstrmId', ''))
+            # ISIN - versuche verschiedene Spaltennamen
+            isin = None
+            for key in ['ISIN', 'Isin', 'isin', 'FinInstrmId', 'FinInstrmId.Id', 'Id']:
+                if key in row and row[key]:
+                    isin = str(row[key]).strip()
+                    break
+            
             if not isin:
                 return None
             
-            # Preis
-            price_str = row.get('Pric', row.get('Price', '0'))
-            price_str = price_str.replace(',', '.')
-            price = float(price_str)
+            # Preis - versuche verschiedene Spaltennamen
+            price = None
+            for key in ['Pric', 'Price', 'pric', 'price', 'Pric.Pric.MntryVal.Amt', 'TradPric']:
+                if key in row and row[key]:
+                    price_str = str(row[key]).replace(',', '.').strip()
+                    try:
+                        price = float(price_str)
+                        if price > 0:
+                            break
+                    except ValueError:
+                        continue
             
-            if price <= 0:
+            if not price or price <= 0:
                 return None
             
-            # Menge
-            qty_str = row.get('Qty', row.get('Quantity', '0'))
-            qty_str = qty_str.replace(',', '.')
-            quantity = float(qty_str)
+            # Menge - versuche verschiedene Spaltennamen
+            quantity = None
+            for key in ['Qty', 'Quantity', 'qty', 'quantity', 'TradQty', 'Qty.Unit']:
+                if key in row and row[key]:
+                    qty_str = str(row[key]).replace(',', '.').strip()
+                    try:
+                        quantity = float(qty_str)
+                        if quantity > 0:
+                            break
+                    except ValueError:
+                        continue
             
-            if quantity <= 0:
+            if not quantity or quantity <= 0:
                 return None
             
-            # Timestamp
-            ts_str = row.get('TrdDtTm', row.get('TradingDateTime', ''))
+            # Timestamp - versuche verschiedene Formate
+            ts_str = None
+            
+            # Erst kombiniertes Feld versuchen
+            for key in ['TrdDtTm', 'TradingDateTime', 'TrdgDtTm', 'Timestamp', 'timestamp']:
+                if key in row and row[key]:
+                    ts_str = str(row[key]).strip()
+                    break
+            
+            # Falls nicht gefunden, separate Felder kombinieren
             if not ts_str:
-                # Fallback: Separate Felder
-                trd_dt = row.get('TrdDt', '')
-                trd_tm = row.get('TrdTm', '00:00:00')
-                ts_str = f"{trd_dt}T{trd_tm}"
+                trd_dt = None
+                trd_tm = '00:00:00'
+                
+                for key in ['TrdDt', 'TradingDate', 'Date', 'date']:
+                    if key in row and row[key]:
+                        trd_dt = str(row[key]).strip()
+                        break
+                
+                for key in ['TrdTm', 'TradingTime', 'Time', 'time']:
+                    if key in row and row[key]:
+                        trd_tm = str(row[key]).strip()
+                        break
+                
+                if trd_dt:
+                    ts_str = f"{trd_dt}T{trd_tm}"
+            
+            if not ts_str:
+                return None
             
             # Parse Timestamp (UTC)
             ts_str = ts_str.replace('Z', '+00:00')
             if 'T' not in ts_str:
                 ts_str = ts_str.replace(' ', 'T')
             
+            # Entferne Mikrosekunden wenn zu lang
+            if '.' in ts_str:
+                parts = ts_str.split('.')
+                if len(parts) > 1:
+                    ms_part = parts[1].split('+')[0].split('-')[0]
+                    if len(ms_part) > 6:
+                        ts_str = parts[0] + '.' + ms_part[:6]
+                        if '+' in parts[1]:
+                            ts_str += '+' + parts[1].split('+')[1]
+                        elif '-' in parts[1][1:]:
+                            ts_str += '-' + parts[1].split('-')[-1]
+            
             timestamp = datetime.fromisoformat(ts_str)
             if timestamp.tzinfo is None:
                 timestamp = timestamp.replace(tzinfo=timezone.utc)
@@ -213,7 +282,7 @@ class GettexExchange(BaseExchange):
             )
             
         except Exception as e:
-            print(f"[GETTEX] Error parsing CSV row: {e}")
+            # Nur bei den ersten paar Fehlern loggen
             return None
     
     def fetch_latest_trades(self, include_yesterday: bool = True, since_date: datetime = None) -> List[Trade]:
@@ -289,7 +358,6 @@ class GettexExchange(BaseExchange):
         trades = []
         
         try:
-            print(f"[{self.name}] Downloading: {url}")
             response = requests.get(url, headers=HEADERS, timeout=60)
             
             if response.status_code == 404:
@@ -301,16 +369,26 @@ class GettexExchange(BaseExchange):
             with gzip.GzipFile(fileobj=io.BytesIO(response.content)) as f:
                 csv_text = f.read().decode('utf-8')
             
-            # CSV parsen
-            reader = csv.DictReader(io.StringIO(csv_text), delimiter=';')
+            # Debug: Zeige erste Zeilen
+            lines = csv_text.strip().split('\n')
+            if len(lines) <= 1:
+                # Datei ist leer oder nur Header
+                return []
             
+            # CSV parsen - versuche verschiedene Delimiter
+            delimiter = ';' if ';' in lines[0] else (',' if ',' in lines[0] else '\t')
+            reader = csv.DictReader(io.StringIO(csv_text), delimiter=delimiter)
+            
+            row_count = 0
             for row in reader:
+                row_count += 1
                 try:
                     trade = self._parse_csv_row(row)
                     if trade:
                         trades.append(trade)
                 except Exception as e:
-                    print(f"[{self.name}] Error parsing row: {e}")
+                    if row_count <= 2:
+                        print(f"[{self.name}] Error parsing row: {e}, keys: {list(row.keys())[:5]}")
                     continue
             
             print(f"[{self.name}] Parsed {len(trades)} trades from {filename}")